Gene expression profiles of LNCaP miR-582-5p cells and LNCaP empty vector cells.
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ABSTRACT: To investigate targets of miR-582-5p that which might participate in the transition to CRPC, we evaluated the gene expression profiles of LNCaP miR-582-5p cells and LNCaP EV cells using DNA microarray analysis. We evaluated the gene expression profiles of LNCaP miR-582-5p cells and LNCaP EV cells using DNA microarray with GeneChipM-BM-. Human Gene 1.0 ST array.
Project description:To investigate targets of miR-582-5p that which might participate in the transition to CRPC, we evaluated the gene expression profiles of LNCaP miR-582-5p cells and LNCaP EV cells using DNA microarray analysis.
Project description:Plasma from 245 patients with advanced NSCLC who received nivolumab as second-line therapy was collected and analyzed. EV-miRnome was profiled on 174/245 patients by microarray platform and selected EV-miRs were validated by qPCR. A prognostic model combining EV-miR and clinical variables was built using stepwise Cox regression analysis and tested on an independent patient cohort (71/245). EV-PD-L1 gene copy number was assessed by digital PCR. For 54 patients with disease control, EV-miR changes at best response versus baseline were investigated by microarray and validated by qPCR. EV-miRNome profiling at baseline identified two EV-miR (miR-181a-5p, miR-574-5p) that, combined with performance status, are capable of discriminating patients unlikely from those that are likely to benefit from immunotherapy (median overall survival of 4 months or higher than 9 months, respectively). EV-PD-L1 digital evaluation reported higher baseline copy number in patients at increased mortality risk, without improving the prognostic score. Best response EV-miRNome profiling selected six deregulated EV-miRs (miR19a-3p, miR-20a-5p, miR-142-3p, miR-1260a, miR-1260b, miR-5100) in responding patients. Their longitudinal monitoring highlighted a significant downmodulation already in the first treatment cycles, which lasted more than six months. Grantee: Simona Coco Grantor: Italian Ministry of Health Grant ID: CO-2016-02361470 Grant Title: Exosomal miRNA signature as prognostic marker in advanced non-small cell lung cancer (NSCLC) patients treated with Nivolumab
Project description:Translocation of ETS transcription factors including ERG and ETV1 occur in half of all prostate cancers. LNCaP cells harbor an ETV1 translocation. We performed ChIP-Seq analysis to determine the role of ETV1 on AR binding. The localization of enhancers were determined by H3K4me1 ChIP-Seq. To determine ETV1 and H3K4me1 localization, logarithmically growing cells
Project description:Purpose: In this study, we performed RNA-seq analysis as a screening strategy to identify EV-miRNAs derived from serum of well clinically annotated breast cancer (BC) patients from South of Brazil. Methods: EVs from three groups of samples, healthy controls (CT), luminal A (LA), and triple negative (TNBC), were isolated from serum using a precipitation method and analyzed by RNA-seq (screening phase). Subsequently, four EV-miRNAs (miR-142-5p, miR-150-5p, miR-320a, and miR-4433b-5p) were selected to be quantified by RT-qPCR in individual samples (test phase). Results: A panel composed of miR-142-5p, miR-320a, and miR-4433b-5p discriminated BC patients from CT with an AUC of 0.8387 (93.33% sensitivity, 68.75% specificity). In addition, the combination of miR-142-5p and miR-320a, presented an AUC of 0.941 (100% sensitivity, 93.80% specificity) in distinguishing LA patients from CT. Interestingly, decrease expression of miR-142-5p and miR-150-5p were significantly associated with more advanced tumor grades (grade III), while the decrease expression of miR-142-5p and miR-320a with larger tumor size. Conclusion: These results provide insights into the potential application of EVs-miRNAs from serum as novel specific markers for early diagnosis of BC.
Project description:LNCaP and its androgen insensitive derivative were profiled in order to identify genes differentially expressed during the conversion to androgen insensitivity. This experiment was performed due to the presence of an ins(7;14) localizing the entire ETV1 locus to chr 14 in LNCaP and C4-2B prostate cancer cells. Keywords: cell type comparison LNCaP and C4-2B were both hybridized to Agilent Whole Human Genome Oligonucleotide Microarrays, with a commercially obtained pool of benign prostate RNA serving as the reference for both cell lines. Dye flips for both cell lines were also performed
Project description:From a previous microarray study we developed a small chondrogenesis model. We performed qPCR and measured how knockdown of miR-199a-5p or miR-199b-5p could modulate chondrogenesis. Several experiments were used to determine the parameters of this model. We utilised parameter scan and manual sliding to refine the model. Within are two models - an initial model which only comprises of genes which we have data for, and an enhanced model which expands of the initial model to make more predictions - e.g. how miR-140-5p is indirectly regulated by miR-199a-5p and miR-199b-5p.
Project description:Objectives: Secretion of extracellular vesicles (EV) and associated micro-RNAs (miR) is altered during cellular stress and may serve as biomarkers of organ injury. We hypothesized that measuring changes in urinary levels of EV and miR will predict the onset of acute kidney injury in cardiac surgery patients. Design: Predictive accuracy biomarker study performed in the cohort of the REVAKI-2 trial Setting: Single center ICU between September 2015 and September 2018 Interventions: Intravenous sildenafil citrate 12.5 mg kg-1 over 150 min or dextrose 5% at the commencement of surgery. Measurements and main results: Urine samples were collected before and 24 hours after the procedure from 93 cardiac surgery patients. Urine EV concentrations and size distribution were assessed using NanoSight. EV derivation and levels were measured using flow cytometry. Samples from 10 selected patients were sequenced to detect differentially expressed miR. Verification was performed with advanced TaqMan assays in samples from all patients. Urine EV concentrations significantly increased in patients with AKI after surgery, with the percentage of EV positive for aquaporin-2 and β1-integrin also increasing. Pre surgery podocalyxin-positive EV were significantly lower, and β1-integrin EV werehigher in patients with AKI. The levels of the former correlated with the severity of theinjury. miR-125a-5p was expressed at higher levels in urine from patients with AKI stage 2/3. Levels of miR-10a-5p decreased after surgery in AKI patients; its levels correlated with the severity of the injury. Preoperative levels of podocalyxin EVs and miR-125a-5p had moderate AKI predictive value and, in a logistic model together with ICU lactate levels, offered good (AUC = 80.9%) AKI prediction. Conclusions: Lower levels of podocalyxin-positive EV at baseline predict the severity of post-surgery AKI. Urine EV concentrations and miR expression offer excellent predictive accuracy when combined with commonly measured biomarkers.
Project description:We have identified a specific site in the ERG protein that undergoes post-transcriptional modification. We have mutated this site and generated stably expressing LNCaP cell lines. In this study we evaluated the transcriptional profile induced by ERG in LNCaP stably expressing ERG wild type , ERG mutant or empty vector (EV).
Project description:In order to identify the targets of miR-193a-5p in osteosarcoma U2OS cell line, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins. order to identify the targets of miR-193a-5p, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins.